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****INCLUDES DOZENS OF HANDS-ON CODING NOTEBOOKS****
This course will use hands-on exercises to teach you how to apply your Excel knowledge in Python.
Several years ago, I was in your shoes. I tried learning Python but would go back to do things in Excel because I was more comfortable with it. My goal in this course is to help you become as comfortable in Python as you are in Excel. To become comfortable, you need to have opportunities to participate in hands-on exercises and projects. You will have the chance to do both in this course.
This course is designed for students who want to grow their careers or improve their analysis by using Python.
What will you learn:
How to use Google Colab to begin using Python without installing software
How to use Python packages and functions
How to import and export data from Python
How to perform basic tasks like data cleaning
How Python can save time by creating scripts which can be re-run easily
How notebooks can be used to create well-documented analysis
How to replicate many Excel features
Excel features we will replicate in Python:
Cell formulas like SUM( ), IF( ) and CONCATENATE( )
Performing text to columns splits
This course is divided into three parts.
The first part is the introduction to the course and an overview of the essential concepts you need to know to use Python and pandas.
In part 2, you will have the flexibility to take the lessons in whatever order best suits your needs. If you need to learn how to build a pivot table in Python, you can skip straight to that lesson. Want to build charts in python… you can start there instead.
In part 3 we will work on an analytics project using real-world data together. You will then apply everything you have learned to build your own project.
The course also has a 30-day 100% money-back guarantee. If you aren't happy with your purchase, you can refund the course with no questions asked.
Enroll now to make the leap from Excel to Python!
Udemy online courses start at $11.99
Top courses from $13.99 when you first visit Udemy.